I Built a Trading Team of AI Agents Smarter Than Wall Street ๐
In this video, I show you how I created a smart multi-agent AI trading platform that combines the power of LLMs and Statistics to analyze stocks like a team of professional analysts working 24/7.
๐ฅ What You'll Learn:
- How I built 6 specialized AI agents (Market Data, Sentiment, News, Fundamental, Risk, Decision)
- Real-time stock analysis with technical indicators (RSI, MACD, Bollinger Bands)
- Integration with Finnhub API for analyst recommendations
- Modern React UI with dark mode and live charts
- FastAPI backend that processes complex trading decisions
- How AI agents debate and collaborate to make trading decisions
๐ฐ Key Features I Built:
โ
Multi-agent system with specialized roles
โ
Real-time fundamental analysis with web search
โ
Sentiment analysis from social media
โ
Risk management with AI-powered debates
โ
Beautiful charts showing analyst recommendations
โ
One-click analysis for popular stocks (AAPL, NVDA, MSFT, TSLA, AMZN)
๐ ๏ธ Tech Stack:
- Python + FastAPI backend
- TradingAgents Framework
- GPT-4o + Gemini LLMs + O1
- Finnhub Financial API
- ChromaDB vector storage
- Chart.js for visualizations
The AI agents actually debate with each other before making final trading decisions - just like a real trading floor! I tested it with MSFT, NVDA, etc. and the analysis was incredibly detailed with technical indicators, fundamental data, and risk assessment.
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โ ๏ธ Disclaimer: This is for educational purposes only. Not financial advice. Always do your own research before making investment decisions.
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